Differential diagnosis of texture analysis in vestibular schwannoma and cerebellopontine angle meningioma

ZHENG Yunxu; XU Yang; FAN Guangwei; BAO Aijun; ZHAO Ling; ZHU Yufu

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Differential diagnosis of texture analysis in vestibular schwannoma and cerebellopontine angle meningioma

更新时间：2023-05-22

- Differential diagnosis of texture analysis in vestibular schwannoma and cerebellopontine angle meningioma
- null Issue 5, Pages: 379(2019)
- 作者机构：
  
  徐州医科大学附属医院神经外科
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019，
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ZHENG Yunxu, XU Yang, FAN Guangwei, et al. Differential diagnosis of texture analysis in vestibular schwannoma and cerebellopontine angle meningioma. [J]. null (5):379(2019)
DOI：

ZHENG Yunxu, XU Yang, FAN Guangwei, et al. Differential diagnosis of texture analysis in vestibular schwannoma and cerebellopontine angle meningioma. [J]. null (5):379(2019) DOI：

摘要

目的探讨磁共振成像(MRI)的三维纹理和形状特征在前庭神经鞘瘤和桥脑小脑角脑膜瘤鉴别诊断中的价值。方法回顾性分析2011年1月至2018年11月徐州医科大学附属医院收治的35例前庭神经鞘瘤和桥脑小脑角脑膜瘤患者的临床资料。采用基于核磁共振成像（MRI）的三维纹理和形状分析评价两种恶性肿瘤的可检测性差异。用单因素独立t检验和受试者操作特性(ROC)曲线分析计算相应的敏感性、特异性、准确性和曲线下面积(AUC)。结果从T1加权像中提取均数、异质性、偏度、丰度等特征，发现异质性和偏度具有较高的鉴别能力。最佳预测因子是异质性（AUC=0.87），其次是偏度（AUC=0.72）。异质性的灵敏度和特异性分别为0.84和0.75，偏度的结果分别为0.74和0.63。结论纹理分析的异质性、偏度参数结合常规MRI平扫表现，对鉴别前庭神经鞘瘤和桥脑小脑角脑膜瘤具有一定的临床应用价值。

Abstract

Objective To explore the value of threedimensional texture and shape features of magnetic resonance imaging (MRI) in the differential diagnosis of vestibular schwannoma and cerebellopontine angle meningioma.Methods The data of 35 patients were retrospectively analyzed

of whom 19 patients with vestibular schwannoma and 16 patients with cerebellopontine angle meningioma.Threedimensional texture and shape analysis based on MRI was used to evaluate the detectable differences between the two malignancies.Single factor independent t test and receiver operating characteristic(ROC) curve were used to analyze and calculate the corresponding sensitivity

specificity

accuracy and area under the curve(AUC).Results The characteristics of mean

heterogeneity

skewness and kurtosis were extracted from T1 images

the results showed that the heterogeneity and skewness had high identified ability.The best predictive factor was heterogeneity（AUC=0.87）

the skewness followed closely（AUC=0.72）. The sensitivity and specificity of inhomogeneity were 0.84 and 0.75

and the skewness were 0.74 and 0.63

respectively. Conclusion Texture analysis of inhomogeneity and skewness parameters combined with conventional MRI plain scan manifestations has certain clinical application value for the differentiation of vestibular schwannoma and cerebellopontine angle meningioma.

关键词

前庭神经鞘瘤桥脑小脑角脑膜瘤纹理分析磁共振成像

Keywords

vestibular schwannomacerebellopontine angle meningiomatexture analysismagnetic resonance imaging

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